ComplyAi exists to close the gap between what Meta's enforcement behavior reveals and what advertisers can see — built from inside 5,000+ live ad accounts, not from reading policy documents.
The team and the system we built together started inside the problem — working with advertisers in affiliate and financial services, where compliance pressure is highest and the cost of getting it wrong is largest. The pattern that kept repeating: businesses being shut out of the platform not because they were doing the wrong thing, but because they couldn't see what Meta saw.
We started as a digital agency. We became something different the day we realized the underserved problem wasn't service — it was infrastructure. Advertisers weren't failing because they lacked help. They were failing because nobody had built the system that could read Meta's enforcement data the way Meta's own teams could.
So we built it.
Today, ComplyAi is the live data layer between Meta's Graph and Marketing APIs and the regulated advertisers running on them — exposing the rejection reasons, severity signals, and policy-drift patterns that don't reach standard dashboards. Continuous coverage spans 2M+ ads and 3+ years of enforcement outcome data.
Recovery is the visible part. The work is closing the gap between what Meta says its policy is and what it actually enforces — the drift that quietly takes accounts down before any rule was written. That gap is the underserved need we were built around. It's the niche that won't go away.
We use AI, automation, and platform expertise to help advertisers prevent policy violation codes, reduce enforcement risk, recover from disruptions, and unlock sustainable growth across digital advertising platforms.
We envision a future where every advertiser can scale confidently because compliance is no longer reactive, manual, or uncertain. ComplyAi becomes the operating system for advertising compliance across Meta, Google, TikTok, Snap, and emerging platforms — transforming compliance from a cost center into a competitive advantage.
How we operate — the principles that guide every product, every partnership, every commitment.
We prioritize accuracy, reliability, and trust in every insight and recommendation.
We build around real customer problems and measurable outcomes.
We own outcomes, follow through, and do what we say we will do.
We turn complexity into clear, actionable guidance.
We communicate openly, honestly, and proactively.
We leverage AI and technology to solve meaningful problems, not create complexity.
ComplyAi started because every advertiser we knew in a restricted vertical was running the same unsurmountable loop — a rejection with a vague reason, an appeal that either worked or didn't, no one to tell why, no way to prevent the next one. Compliance "tools" treated the policy page as the source of truth. The policy page is not where enforcement happens. Enforcement happens in the enforcement signal layer Meta exposes but doesn't render in Ads Manager, across every connected subscriber that compounds into account-level trajectory.
“Enforcement intelligence has to come from inside real data — not from reading policy pages.”
ComplyAi Thesis · 2023So the product was built from the data outward. We got inside live accounts across the most aggressive regulated verticals on Meta — CBD, supplements, GLP-1, financial services — and reconstructed the enforcement model one code, one signal, one account at a time. The result is not a compliance checklist. It's a pattern library for a platform that publishes none.
Every number below is live enforcement data — collected directly from ad accounts through Meta's Marketing API with advertiser permission. It cannot be scraped, purchased, or approximated. Every subscriber added deepens it for every other subscriber.
ComplyAi Intelligence Graph · Q2 2026 · n=5,000+ ad accounts
These are the verticals where Meta's enforcement is most aggressive, least predictable, and most damaging when it acts. They're also the verticals where ComplyAi has the deepest enforcement outcome history — because that's where the data matters most.
Every account adds signal. Every rejection, every appeal, every pattern shift feeds the dataset. It doesn't just protect one advertiser. It compounds across all of them.
That's not a feature. It's the structural reason no late entrant can close the gap.
Access to this data requires active subscriber relationships — each advertiser grants ComplyAi permission to read their ad account data via Meta's Marketing API. It cannot be scraped, purchased, or approximated.
Reinstatement anchored to the underlying enforcement signal Meta exposes through its Graph and Marketing APIs but doesn't render in Ads Manager — appeals anchored to the underlying signal overturn enforcement decisions (ComplyAi Intelligence Graph, Q2 2026).
Continuous reads across 50+ enforcement signal categories per connected account — the goal is never to see a flag.
Vertical playbooks and warmup plans built from 2M+ ads of enforcement data.
Your Meta account's enforcement signals get read across the enforcement signal layer, the underlying violation codes and risk patterns get surfaced, and the specific risk to your current spend gets named — not estimated. Plus which stage of ComplyAi is the right fit.